Evidence map›Paper›PMID 25515620›Full record

Trial reportPediatric obesity2015

Cardio-metabolic risk screening among adolescents: understanding the utility of body mass index, waist circumference and waist to height ratio.

K W Bauer, M D Marcus, L El ghormli, C L Ogden, G D Foster

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Pediatric obesity, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 4 pooled it
8.0field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 4 syntheses or guidelines pooled it, 80 citations in OpenAlex.

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  4. ANTHROPOMETRY AND CLUSTERED CARDIOMETABOLIC RISK FACTORS IN YOUNG PEOPLE: A SYSTEMATIC REVIEW.Revista paulista de pediatria : orgao oficial da Sociedade de Pediatria de Sao Paulo
    Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 1 country.

K W BauerCenter for Obesity Research and Education, Temple University, Philadelphia, PA, USA.
M D MarcusDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
L El ghormliThe Biostatistics Center, George Washington University, Rockville, MD, USA.
C L OgdenNational Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, MD, USA.
G D FosterCenter for Obesity Research and Education, Temple University, Philadelphia, PA, USA.
Temple University · USGeorge Washington University · USNational Center for Health Statistics · USUniversity of Pittsburgh · US

Funding

Treatment Options for Type 2 Diabetes in Adolescents and Youth (TODAY) StudyU01DK061230 · NIDDK · GEORGE WASHINGTON UNIVERSITY · PI BRAFFETT, BARBARA HALINA, ZEITLER, PHILIP S. · 2001 to 2019
$231.8M
Physical Activity in Youth-Preventing Type 2 DiabetesU01DK061223 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HARRELL, JOANNE S · 2002 to 2008
$13.1M
Exercise Strategy to Prevent Pediatric Type 2 DiabetesU01DK061249 · NIDDK · UNIVERSITY OF CALIFORNIA-IRVINE · PI COOPER, DAN M · 2002 to 2008
$12.4M
Middle School Prevention of Type 2 DiabetesU01DK061231 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI BARANOWSKI, TOM · 2002 to 2008
$9.4M
NIDDK NIH HHS U01 DK061223NIDDK NIH HHS U01 DK061230NIDDK NIH HHS U01 DK061231NIDDK NIH HHS U01 DK061249NIDDK NIH HHS U01-DK61223NIDDK NIH HHS U01-DK61230NIDDK NIH HHS U01- DK61231NIDDK NIH HHS U01-DK61249
6 · The paper itself

Abstract

backgroundFew studies have assessed how well body mass index (BMI), waist circumference (WC), or waist to height ratio (WtHR) perform in identifying cardio-metabolic risk among youth.

objectiveThe objective of this study was to evaluate the utility of BMI and WC percentiles and WtHR to distinguish adolescents with and without cardio-metabolic risk.

methodsA cross-sectional analysis of data from 6097 adolescents aged 10-13 years who participated in the HEALTHY study was conducted. Receiver operating characteristic curves determined the discriminatory ability of BMI and WC percentiles and WtHR.

resultsThe discriminatory ability of BMI percentile was good (area under the curve [AUC] ≥ 0.80) for elevated insulin and clustering of ≥3 risk factors, with optimal cut-points of 96 and 95, respectively. BMI percentile performed poor to fair (AUC = 0.57-0.75) in identifying youth with the majority of individual risk factors examined (elevated glucose, total cholesterol, low-density lipoprotein, blood pressure, triglycerides and high-density lipoprotein). WC percentile and WtHR performed similarly to BMI percentile.

conclusionsThe current definition of obesity among US children performs well at identifying adolescents with elevated insulin and a clustering of ≥3 cardio-metabolic risk factors. Evidence does not support WC percentile or WtHR as superior screening tools compared with BMI percentile for identifying cardio-metabolic risk.

Indexed as

AdolescentArea Under CurveBlood PressureBody Mass IndexCardiovascular DiseasesChildCholesterolCross-Sectional StudiesFemaleHumansLipoproteins, HDLLipoproteins, LDLMalePediatric ObesityReference ValuesRisk AssessmentCholesterolLipoproteins, HDLLipoproteins, LDLTriglyceridesAdolescentscardiovascular riskscreening

Identifiers

PMID25515620
PMCPMC4470887
OpenAlexW2099547572

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.